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Services

Overview:

According to Gartner, AI technologies is going to be a major investment area and industrywide funding for AI will increase at a moderate to fast pace over the next couple of years. The technological innovation would be led by major technology companies as well as the startup.

Gartner forecasts that the top five use cases categories for API spending will in Knowledge management, virtual assistants, autonomous vehicles, digital workplace and content generations.

The reality of AI deployment is that organizations commonly experiment with AI but struggle to make the technology as part of their standard operations due to several factors.

Kaamsha Technologies was founded to help customers to accelerate their AI adoption to enhance their business processes and their top line and bottom line. Our expert team of AL/ML professionals will work with your team to understand your business need and provide guidance where implementing an AI based solution can make bigger impact in your business.

AI Consulting

Our AI consulting services are designed to guide businesses through the process of adopting and integrating artificial intelligence technologies into their operations, strategies, and products. Here's an overview of what our AI consulting entails:

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  • Needs Assessment:

We start by conducting a thorough needs assessment to understand your business goals, challenges, and pain points.

We identify areas where AI can bring the most value and outline clear objectives for AI implementation.

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  • Strategy Development:

Based on the assessment, we formulate a customized AI strategy aligned with your business objectives.

This strategy includes a roadmap for AI adoption, technology selection, and resource allocation.

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  • Technology Selection:

We assist in selecting the right AI technologies, frameworks, and tools that best suit your business needs and budget.

This includes recommendations on whether to build custom AI solutions or leverage existing platforms.

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  • Implementation and Integration:

We oversee the implementation of AI solutions into your existing workflows and systems.

This includes integration with existing software, APIs, and databases.

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  • Performance Monitoring and Optimization:

We establish key performance indicators (KPIs) to measure the success of AI implementations.

Continuous monitoring and optimization ensure that AI systems perform at their best.

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  • Cost-Benefit Analysis:

We conduct cost-benefit analyses to assess the return on investment (ROI) of AI initiatives.

This helps you make data-driven decisions regarding AI implementation.

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  • Risk Mitigation:

We identify potential risks and challenges associated with AI adoption and propose mitigation strategies.

This includes addressing legal, security, and compliance concerns.

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  • Ongoing Support:

Our AI consulting services provide ongoing support and guidance as your business continues to evolve and expand its AI capabilities.

Generative AI

Natural Language Processing (NLP) Solutions:

  • Develop NLP-based generative models for tasks like language translation, summarization, or dialogue generation. This is particularly relevant for applications involving content creation or language-related tasks.

  • Custom Chatbot Development:

  • Build conversational agents with generative capabilities for customer support, information retrieval, using off-the-self language models.

 

Recommendation Systems:

  • Implement recommendation systems that leverage generative models to suggest personalized content, products, or services based on user preferences.

  • Time Series Prediction and Forecasting:

  • Develop generative models for time series prediction and forecasting. This can be applied to various domains such as finance, supply chain management, or energy consumption.

AI Integration

Integration with off the self AI services offered by the major cloud providers like Microsoft Azure, AWS, Google

 

Cognitive Services Integration:

  • Azure provides a suite of Cognitive Services APIs, including Computer Vision, Natural Language Processing, and Speech Recognition. We can integrate these APIs into your applications for features like image analysis, sentiment analysis, and speech-to-text conversion.

 

Amazon Polly and Amazon Lex:

  • We can integrate Amazon Polly for text-to-speech and Amazon Lex for chatbots and natural language understanding into your applications through APIs.

 

Google Cloud Vision and Speech APIs:

  • We can integrate these APIs into your applications for image analysis, speech recognition, and language understanding.

 

Levering the capabilities of OpenAI/LLMs offered by Azure, Chat GPT, Amazon bedrock, Amazon Titan, Azure Cognitive services, Generative AI on Google Vertex

AI deployment on cloud platforms

  • Azure Machine Learning Service (AML):

·  We provide services to use AML to develop custom models, manage data, and deploy models as web services (APIs).

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  • Azure Functions:

·  Use Azure Functions to host AI models as HTTP-triggered functions. This allows you to access your AI models in response to HTTP requests.

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  • AWS SageMaker

·  Use AWS Sagemaker to build, train, and deploy machine learning models and use AWS lambda to host the trained models and access via Http calls.

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  • Google AI Platform

·  Use Google AI platform to develop, train, deploy ML models and access them as Http endpoints hosted via Google Cloud function.

Data Analysis and Insights

Process and analyze large datasets to derive actionable insights.

  • Assist businesses in making informed decisions using AI-driven data analysis.

  • We specifically help in utilizing the key data analysis, insight and storage services offered by Azure, AWS and Google.

  • Azure Data Lake, Power BI

  • Amazon S3, AWS Glue, Amazon Quick Insight

  • Google Cloud Storage, Big Query, Dataflow

Legacy system compatibility

  • If your organization relies on legacy systems, we offer solutions to make them AI-compatible.

  • We bridge the gap between older technologies and modern AI, ensuring a smooth transition.

Data Strategy

Data Collection and Aggregation:

  • We help you gather data from diverse sources, including structured and unstructured data, IoT devices, and external APIs.

  • Our data engineers ensure data is cleaned, transformed, and aggregated for analysis

 

Exploratory Data Analysis (EDA):

  • Our data scientists perform in-depth EDA to understand the underlying patterns, trends, and outliers in your data.

  • We use a combination of statistical techniques and data visualization to provide a comprehensive overview.

 

Predictive Modeling:

  • We develop predictive models using machine learning algorithms to forecast future trends, such as customer behavior, demand, or market fluctuations.

  • These models enable you to make proactive decisions and stay ahead of the competition.

  • Anomaly Detection:

  • Our AI algorithms continuously monitor data streams to identify anomalies and potential issues.

  • This helps prevent fraud, system failures, and other irregularities before they cause significant harm.

 

Customer Segmentation:

  • We segment your customer base using AI-driven techniques.

  • This enables personalized marketing, improved customer experiences, and targeted product development.

  • Sentiment Analysis:

  • We analyze textual data, such as social media posts and customer reviews, to gauge public sentiment around your brand or products.

  • This information guides reputation management and product enhancement efforts.

Custom AI Solutions

  • Develop tailored AI applications based on client requirements.

  • Build machine learning models, natural language processing systems, computer vision solutions or integrating existing applications with the AI/cognitive services provided by the cloud providers such as Azure, AWS, Google

  • Examples: Knowledge management

  • Creating virtual assistants which is trained to answers questions on your custom data.

  • End to end service development for chatbots, recommendation engine, anomaly detection service.

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